Non parametric and robust statistical test based on wavelets for time series classification
dc.contributor.advisor | Laniado Rodas, Henry | spa |
dc.contributor.advisor | Ríos Querubín, Mateo | spa |
dc.contributor.author | Sánchez González, Alejandra | |
dc.coverage.spatial | Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | eng |
dc.creator.degree | Magíster en Matemáticas Aplicadas | spa |
dc.creator.email | alejandra.sanchez@usautoto.edu.co | spa |
dc.date.accessioned | 2018-12-10T17:10:08Z | |
dc.date.available | 2018-12-10T17:10:08Z | |
dc.date.issued | 2018 | |
dc.description.abstract | In this article a statistical procedure for identifying if a time series set follows the same model is developed -- With the aim of supporting characterization and pattern recognition for temporal series, and inspired by the methodology of Maharaj E. A.[1], we take advantage of the wavelet coefficients properties to characterize a signal and our procedure is made by means of a randomization test on those coefficient -- Our main contribution in this work is to introduce modified versions of test statistic in test for pattern recognition of time series which in general, have a great performance in terms of size and power, both being desirable features in a statistic test -- It is worth pointing out that we introduce robust statistical tests whose performance are better in presence of atypical values than some techniques already studied in the literature -- The methodology developed here allow us to design a new method to classify time series and atypical values identification -- We implement our new methods in real and simulated cases | spa |
dc.identifier.ddc | 515.243 S669 | |
dc.identifier.uri | http://hdl.handle.net/10784/13318 | |
dc.language.iso | spa | spa |
dc.publisher | Universidad EAFIT | spa |
dc.publisher.department | Escuela de Ciencias. Departamento de Ciencias Básicas | spa |
dc.publisher.program | Maestría en Matemáticas Aplicadas | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.local | Acceso abierto | spa |
dc.subject | Transformada de Wavelet | spa |
dc.subject | Coeficiente de ondulación | spa |
dc.subject | Prueba de aleatorización | spa |
dc.subject.keyword | Time-series analysis | spa |
dc.subject.keyword | Estimation theory | spa |
dc.subject.lemb | ANÁLISIS DE SERIES DE TIEMPO | spa |
dc.subject.lemb | TEORÍA DE LA ESTIMACIÓN | spa |
dc.title | Non parametric and robust statistical test based on wavelets for time series classification | spa |
dc.type | masterThesis | eng |
dc.type | info:eu-repo/semantics/masterThesis | eng |
dc.type.hasVersion | acceptedVersion | eng |
dc.type.local | Tesis de Maestría | spa |
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